What Design Engineers Actually Need from AI…and What’s Still Missing

Tuesday, November 10 @ 10AM EST / 3PM GMT / 4PM CET

Ninety-five percent of surveyed design engineering teams say they use AI, but only 14% have standardized it, and just 35% report significant or transformative value. Tech-Clarity’s new survey of 216 design and engineering professionals explores this further. When decisions hinge on cost and manufacturability, engineers still rely on rules of thumb, checklists, and several hours of waiting, and they proceed without that information more than a third of the time. Meanwhile, 93% face late-stage changes that take 2.3 times longer than early ones. AI that produces engineering errors, lacks current data, and misses company-specific knowledge doesn’t close that gap.

Join Mark Rushton, Principal Product Marketing Manager, aPriori and Michelle Boucher, Vice President at Tech-Clarity, as they discuss what the research reveals about how Top Performers work differently and what engineers say AI must deliver before they trust it.

You’ll learn:

• Where engineers still lose hours to manual cost and manufacturability assessment, and why management underestimates the problem
• What Top Performers do differently: automatic updates as designs change, and connected data instead of manual re-entry
• Which AI capabilities engineers want most, and what would increase their confidence in AI guidance
• How connected engineering data can recover roughly 90 engineering hours per week for the typical team